System for debugging a network environment

Abstract

Disclosed is a system for debugging the network environment under regression testing. Initially, a data receiving module receives data pertaining to the network environment. An extraction module extracts a plurality of features by using a parser. An identification module identifies an error as a Problem Report (PR) or a False Failure (FF) based on classification of a test case execution log and a similarity confidence. The test case execution log may be classified based on comparison of a predefined pattern with an error pattern of the test case execution log. A generation module may generate second test case based on the plurality of features, a predefined set of instructions and the error pattern associated with the test case execution log by using a K-means and a Nearest Neighbour algorithm. A debugging module debugs the network environment based on execution of a test case.

The invention claimed is: 
     
       1. A method for debugging a network environment, the method comprising:
 receiving, by a processor, data pertaining to a network environment under regression testing upon execution of first test case; 
 extracting, by the processor, a plurality of features from the data by using a parser; 
 identifying, by the processor, an error as at least one of a Problem Report (PR) and a False Failure (FF) based on classification of a test case execution log, of the first test case, and a similarity confidence, wherein the classification is based on comparison of a predefined pattern of a test case execution log with an error pattern of the test case execution log, and wherein the test case execution log indicates a summary pertaining to an execution of the first test case, and wherein the PR indicates occurrence of the error, and wherein the FF indicates incorrect reporting of the error; 
 generating, by the processor, second test case based on the plurality of features, a predefined set of instructions and the error pattern associated with the test case execution log by using a K-means and a Nearest Neighbour algorithm, when the error identified is the PR; 
 and debugging, by the processor, the network environment based on execution of the second test case. 
 
     
     
       2. The method of  claim 1  further comprises recommending the error as the PR based on a comparison of the plurality of features with a predefined set of features corresponding to the first test case, wherein the comparison is based on the similarity confidence associated with each feature. 
     
     
       3. The method of  claim 1  further comprises notifying a user, when the error is rectified from the network environment, and when the error is identified as the FF. 
     
     
       4. The method of  claim 1 , wherein the plurality of features includes information such as router details, param file, param version, topology, library file/path, pm specific lines, non- pm specific lines, and interface details. 
     
     
       5. A system for debugging a network environment, the system ( 102 ) comprising:
 a processor; and 
 a memory coupled to the processor, wherein the processor is capable of executing a plurality of modules stored in the memory, and wherein the plurality of modules comprising:
 a data receiving module for receiving data pertaining to a network environment under regression testing upon execution of first test case; 
 an extraction module for extracting a plurality of features from the data by using a parser; 
 an identification module for identifying an error as at least one of a Problem Report (PR) and a False Failure (FF) based on classification of a test case execution log, of the first test case, and a similarity confidence, wherein the classification is based on comparison of a predefined pattern of a test case execution log with an error pattern of the test case execution log, and wherein the test case execution log indicates a summary pertaining to an execution of the first test case, and wherein the PR indicates occurrence of the error, and wherein the FF indicates incorrect reporting of the error; 
 a generation module for generating second test case based on the plurality of features, a predefined set of instructions and the error pattern associated with the test case execution log by using a K-means and a Nearest Neighbour algorithm, when the error identified is the PR; and 
 a debugging module for debugging the network environment based on execution of the second test case. 
 
 
     
     
       6. The system of  claim 5  is further configured to recommend the error as the PR based on a comparison of the plurality of features with a predefined set of features corresponding to the first test case, wherein the comparison is based on the similarity confidence associated with each feature. 
     
     
       7. The system of  claim 5  is further configured to notify a user,
 when the error is rectified from the network environment, and 
 when the error is identified as the FF. 
 
     
     
       8. The system of  claim 5 , wherein the plurality of features includes information such as router details, param file, param version, topology, library file/path, pm specific lines, non-pm specific lines, and interface details. 
     
     
       9. A non-transitory computer readable medium embodying a program executable in a computing device for debugging a network environment, the program comprising a program code:
 a program code for receiving data pertaining to a network environment under regression testing upon execution of first test case; 
 a program code for extracting a plurality of features from the data by using a parser; 
 a program code for identifying an error as at least one of a Problem Report (PR) and a False Failure (FF) based on classification of a test case execution log, of the first test case, and a similarity confidence, wherein the classification is based on comparison of a predefined pattern of a test case execution log with an error pattern of the test case execution log, and wherein the test case execution log indicates a summary pertaining to an execution of the first test case, and wherein the PR indicates occurrence of the error, and wherein the FF indicates incorrect reporting of the error; 
 a program code for generating second test case based on the plurality of features, a predefined set of instructions and the error pattern associated with the test case execution log by using a K-means and a Nearest Neighbour algorithm, when the error identified is the PR; and 
 a program code for debugging the network environment based on execution of the second test case.